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  4. Publikationen Life Sciences und Facility Management
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dc.contributor.authorSchneider, Matthias-
dc.contributor.authorHirsch, Sven-
dc.contributor.authorWeber, Bruno-
dc.contributor.authorSzékely, Gábor-
dc.contributor.authorMenze, Bjoern H.-
dc.date.accessioned2018-12-06T13:12:54Z-
dc.date.available2018-12-06T13:12:54Z-
dc.date.issued2015-
dc.identifier.issn1361-8415de_CH
dc.identifier.issn1361-8423de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13617-
dc.description.abstractWe propose a novel framework for joint 3-D vessel segmentation and centerline extraction. The approach is based on multivariate Hough voting and oblique random forests (RFs) that we learn from noisy annotations. It relies on steerable filters for the efficient computation of local image features at different scales and orientations.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofMedical Image Analysisde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCenterline extractionde_CH
dc.subjectMultivariate Hough votingde_CH
dc.subjectOblique random forestde_CH
dc.subjectSteerable filtersde_CH
dc.subjectVessel segmentationde_CH
dc.subjectAlgorithmsde_CH
dc.subject.ddc610: Medizin und Gesundheitde_CH
dc.titleJoint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filtersde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1016/j.media.2014.09.007de_CH
dc.identifier.pmid25461339de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end249de_CH
zhaw.pages.start220de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume19de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBiomedical Simulationde_CH
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Schneider, M., Hirsch, S., Weber, B., Székely, G., & Menze, B. H. (2015). Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters. Medical Image Analysis, 19(1), 220–249. https://doi.org/10.1016/j.media.2014.09.007
Schneider, M. et al. (2015) ‘Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters’, Medical Image Analysis, 19(1), pp. 220–249. Available at: https://doi.org/10.1016/j.media.2014.09.007.
M. Schneider, S. Hirsch, B. Weber, G. Székely, and B. H. Menze, “Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters,” Medical Image Analysis, vol. 19, no. 1, pp. 220–249, 2015, doi: 10.1016/j.media.2014.09.007.
SCHNEIDER, Matthias, Sven HIRSCH, Bruno WEBER, Gábor SZÉKELY und Bjoern H. MENZE, 2015. Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters. Medical Image Analysis. 2015. Bd. 19, Nr. 1, S. 220–249. DOI 10.1016/j.media.2014.09.007
Schneider, Matthias, Sven Hirsch, Bruno Weber, Gábor Székely, and Bjoern H. Menze. 2015. “Joint 3-D Vessel Segmentation and Centerline Extraction Using Oblique Hough Forests with Steerable Filters.” Medical Image Analysis 19 (1): 220–49. https://doi.org/10.1016/j.media.2014.09.007.
Schneider, Matthias, et al. “Joint 3-D Vessel Segmentation and Centerline Extraction Using Oblique Hough Forests with Steerable Filters.” Medical Image Analysis, vol. 19, no. 1, 2015, pp. 220–49, https://doi.org/10.1016/j.media.2014.09.007.


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